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Study Finds AI Agent Skill Layers Don't Always Improve MCP Tool Performance

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A developer experimenting with a Tokyo public transit MCP server tested whether adding a structured SKILL.md guidance layer would improve AI agent output and accuracy. Six evaluations compared agent behavior with and without the Skill layer, covering simple to complex transit routing requests. Results showed no measurable improvement for straightforward tasks, while one complex query produced a less optimal route when the Skill was active. The Skill did prove useful when users specified preferences like minimizing transfers, helping the agent better align with those requests. The experiment concluded that adding guidance layers is not automatically beneficial and that their value depends heavily on task complexity and how the Skill itself is defined.

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